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3 Days ago

Data Analyst- Complete Onsite(Chennai)

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Sirsa, Haryana, India
Information Technology
Full-Time
Uplers

Overview

Experience: 5.00 + years

Salary: INR 2000000-3000000 / year (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office (Chennai)

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: SOL-X)

(*Note: This is a requirement for one of Uplers' client - SOL-X)

What do you need for this opportunity?

Must have skills required:

Communication, ETL, Health domain, operational analytics., safety Domain, Data Analyst, Data Handeling, Metabase, NoSQL databases, Pandas/NumPy/scikit-learn, TensorFlow or PyTorch, Python, Tableau

SOL-X is Looking for:

About Company

Data Analyst Job Description

SOL-X is a Maritime Safety and Crew Wellbeing solution for a holistic crew well-being framework,

empowering workers to use digital products that actively support the physical, mental, and emotional

well-being. Through advanced analytics and behavioural modelling, SOL-X provides deep insights into

how to improve operational safety and empower remote workers to manage their wellbeing.

About Role

We are looking for an experienced Data Analyst to lead our predictive analytics initiatives. You will be

responsible for developing robust models and interactive dashboards to extract actionable insights from

large, enterprise-level data sets. This role involves end-to-end data management—from collection and

preprocessing to model development and deployment—using modern tools and technologies to support

data-driven business decisions in a safety-critical domain.

Responsibilities

  • Data Acquisition & Preparation:
  • Collect, preprocess, and clean large, complex datasets from multiple sources.
  • Develop and manage robust data pipelines to ensure seamless data ingestion and


quality.

  • Model Development & Experimentation:
  • Build, test, and implement predictive and explanatory models using machine learning


frameworks such as scikit-learn, TensorFlow, or PyTorch.

  • Design and conduct experiments to validate models and continuously improve


performance.

  • Dashboard & Reporting:
  • Develop interactive dashboards using visualization tools (e.g., Tableau, Metabase,


Matplotlib, Seaborn) that enable stakeholders to make informed decisions.

  • Prepare detailed reports and presentations to communicate insights, trends, and


recommendations.

  • Collaboration & Continuous Improvement:
  • Collaborate with cross-functional teams to understand business requirements and


translate them into technical specifications.

  • Stay up-to-date with emerging trends and technologies in data science and machine


learning, integrating best practices into ongoing projects.

Qualifications

  • 5–7 years of experience in data collection, preprocessing, and analysis of large enterprise-level


data sets.

  • Proven expertise in statistical analysis, predictive modeling, and explanatory modeling


techniques.

  • Strong proficiency in Python and experience with libraries such as Pandas, NumPy, scikit-learn,


and frameworks like TensorFlow or PyTorch.

  • Extensive experience with data visualization tools such as Tableau, Metabase, Matplotlib, and


Seaborn.

  • Hands-on experience working with NoSQL databases.
  • Demonstrated ability to extract meaningful insights from complex data sets and effectively


communicate them to stakeholders.

Nice To Have / Preferred Qualifications

  • Experience with building ETL pipelines is a plus.
  • Prior experience in data engineering and managing data pipelines.
  • Background in safety or health analytics projects.
  • Excellent communication skills and a collaborative mindset.


If you’re passionate about leveraging data to drive operational excellence and support strategic decision-

making, we’d love to hear from you. Join Sol-X and be part of a dynamic team committed to making a

significant impact!

Engagement Type: Direct hire on SOL-X Payroll

Job Type: Permanent

Location: Chennai - Complete Onsite

Working time: 9:00 AM to 6:00 PM

Interview Process - 3- 4 Rounds

How to apply for this opportunity?

  • Step 1: Click On Apply! And Register or Login on our portal.
  • Step 2: Complete the Screening Form & Upload updated Resume
  • Step 3: Increase your chances to get shortlisted & meet the client for the Interview!


About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
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